… Andere says Wafer also adds “agentic harnesses” to existing coding models like Anthropic’s Claude and OpenAI’s GPT to soup up their ability to write code that runs directly on chips. Many prominent tech companies now have their own chips. …
… Releasing models openly may have long-term strategic benefits for Nvidia, too. The company’s chips remain the gold standard for training large AI models, with customers spending billions to acquire the company’s hardware for their datacenters. …
… Our primary goal is to create AI capabilities that offer superior value for money.” He also said developing its own chips gives Alibaba “guaranteed supply of AI computing power,” which he said is necessary given “the unique circumstances currently facing the AI industry in China” – likely a referen… …
Well, relying on Huawei's AI chips didn't go well for DeepSeek , as the AI firm has failed to train the R2 model on Chinese chips and is now opting for NVIDIA instead. …
… The GPU giant needs that many chips because, while SRAM may be fast, the chips are neither capacious nor compute-dense. Each Groq 3 LPU is capable of 1.2 petaFLOPS of FP8 and contains 500 MB of on board memory. …
… Topics AI , AI chips , groq , In Brief , nvidia , Startups , Venture Related AI This chip startup just raised $135M on a bet that AI’s biggest bottleneck isn’t compute — it’s memory AI Glean’s top line crosses $300M as AI budget cutting becomes its major selling point AI Has the hunt for AI compute… …
… The Razer Blade 18 2026 is available to order now from Razer's website , which amusingly but unsurprisingly has separate sales pitches for gaming and AI.
… Both chips also deliver twice the performance per watt improvement, which is vital for AI TCO. Both chips support Google's 4th Gen liquid cooling technology that is able to sustain the higher compute and performance densities, not possible with air cooling. …
… Despite the CCP’s inability to manufacture enough advanced chips domestically or purchase them legally abroad, AI labs in China have been able to stay close on intelligence through two workarounds: illicit and evasive compute access , by smuggling AI chips directly into China and accessing offshore… …
… Despite the hypemaxxed branding, the chip’s Arm Neoverse V3 cores won’t be running AI models themselves. That’s a job for GPUs or one of the growing number of high-end AI ASICs. Instead, Arm sees its first datacenter CPU powering AI agents. …
